Paidamoyo Chapfuwa

Orcid: 0000-0003-0518-565X

According to our database1, Paidamoyo Chapfuwa authored at least 12 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Calibration and Uncertainty in Neural Time-to-Event Modeling.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires.
CoRR, 2023

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires.
Proceedings of the Machine Learning for Healthcare Conference, 2023

Hawkes Process with Flexible Triggering Kernels.
Proceedings of the Machine Learning for Healthcare Conference, 2023

2022
Flexible Triggering Kernels for Hawkes Process Modeling.
CoRR, 2022

Capturing actionable dynamics with structured latent ordinary differential equations.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
Enabling counterfactual survival analysis with balanced representations.
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020
Survival Analysis meets Counterfactual Inference.
CoRR, 2020

Survival cluster analysis.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2019
Survival Function Matching for Calibrated Time-to-Event Predictions.
CoRR, 2019

2018
Adversarial Time-to-Event Modeling.
Proceedings of the 35th International Conference on Machine Learning, 2018

NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018


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